Air-Bag-Zündzeitpunkt-Voraussageverfahren und System mit neuronalen Netzen

摘要

A method for predicting impact by using neural networks comprising steps of supplying a predetermined crash curve to a first neural network having an intermediate layer to train said first neural network by means of learning calculation and supplying a predetermined air bag deployment limit curve to a second neural network to train said second neural network, supplying data indicative of crash curve obtained by an acceleration sensing device on collision to said first and second neural networks, predicting in said first neural network a time instance at which a threshold displacement is going to reach based on the basis of the training result in said first neural network, comparing in said second neural network data indicative of crash curve on said collision and said air bag deployment limit curve to produce a decision signal of deploying the air bag according to the comparison result, calculating AND of said decision signal and said time instance in accordance with said AND, to deploy the air bag depending on the impact, and supplying an operation command signal to the air bag deployment operation means.